Application of similarity aggregation techniques to a population of paraplegic patients
作者:
Pierre Parisot,
期刊:
Applied Stochastic Models and Data Analysis
(WILEY Available online 1985)
卷期:
Volume 1,
issue 1
页码: 35-54
ISSN:8755-0024
年代: 1985
DOI:10.1002/asm.3150010106
出版商: John Wiley&Sons, Ltd.
关键词: Data analysis;Clustering;Similarity aggregation;Medical data;Neurology
数据来源: WILEY
摘要:
AbstractWe studied a population of paraplegic patients in order to give prominence to a possible relationship between the topography of their spinal lesion and the occurrence of special articular diseases (P.O.A.).According to the motor and sensory state of their spinal cord, we first tried to obtain a classification of these lesions (the usual one schematically separates ‘flaccid’ and ‘rigid’ paraplegics).We mainly put the emphasis on this clustering step of the study:— choice and meaning of the data and their coding;— explanation and justification of the method used: thesimilarity aggregation;— interpretation of results a
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